Clinical utility gains from incorporating comorbidity and geographic location information into risk estimation equations for atherosclerotic cardiovascular disease.
Yizhe XuAgata ForyciarzEthan SteinbergNigam H. ShahPublished in: J. Am. Medical Informatics Assoc. (2023)
Keyphrases
- cardiovascular disease
- location information
- risk factors
- high risk
- coronary artery
- clinical diagnosis
- medical diagnosis
- location based services
- risk assessment
- coronary artery disease
- chronic disease
- risk management
- statistical methods
- sensor data
- statistical analysis
- svm classification
- mobile users
- expert systems
- computer vision
- machine learning